Palmier Pro

Most video editors treat AI generation as an import problem: go somewhere else, make the clip, bring it back. Palmier Pro is built around the premise that generation belongs on the timeline itself. The editor supports multi-track video, audio, image, and text layers with trim, split, speed, opacity, and transform controls. AI generation from integrated models — Kling V3, Seedance 2.0, Veo 3.1, Grok Imagine, and others — runs directly inside the project. When a generated clip lands, it sits next to your own footage on the same timeline, ready to cut.

The MCP integration is where Palmier Pro diverges from generation-first tools like Runway or Higgsfield. The vendor describes an MCP server that exposes the project timeline to external agents: Claude Desktop, Cursor, and Codex can connect via settings, read the project state, generate media, and push edits back into the timeline. This is not a chatbot that suggests cuts — it is a protocol connection that lets an agent you already have running elsewhere take actions inside your edit. The practical upshot is that teams who have already built agent workflows can wire them into the editing layer without rebuilding logic inside a new platform.

The tool is a fit for AI-assisted prototyping and rough-cut work where generation speed matters more than deep color grading or multi-seat review. The macOS 26 (Tahoe) minimum is a hard platform requirement — not a recommendation. Teams on Windows or earlier macOS versions cannot run it at all. The video editor itself is free without AI features; generation credits cover video, image, audio, upscaling, and Palmier chat, and team or enterprise arrangements require booking a demo. Export targets are MP4 (H.264, H.265, ProRes) and NLE XML for Premiere Pro and DaVinci Resolve, which gives a handoff path to established post-production pipelines when the rough cut needs finishing work those tools handle better.